Profile the Performance of AI and ML Mobile Applications on Arm

About this Learning Path

Who is this for?

This is an introductory topic for software developers who want to learn how to profile the performance of Machine Learning (ML) models running on Arm devices.

What will you learn?

Upon completion of this learning path, you will be able to:

• Profile the execution times of ML models on Arm devices.
• Profile ML application performance on Arm devices.
• Describe how profiling can help optimize the performance of Machine Learning applications.

Prerequisites

Before starting, you will need the following:

• An Arm-powered Android smartphone, and a USB cable to connect to it.
• For profiling the ML inference, Arm NN ExecuteNetwork .
• For profiling the application, Arm Performance Studio with Streamline .
• Android Studio Profiler.